Note: This is tentative and subject to change

Updated 9/24

Week Topics Reading Assignments
1 (Aug. 18-20) - What is Econometrics? CN All of Ch. 1
2 (Aug. 23-27) - Introduction to R Programming
- Lab 1: Getting Started with R Programming
CN All of Ch. 2
3 (Aug. 30-Sep. 3) - R programming (cont’d) HW 1 Assigned
4 (Sep. 6-10) - Labor Day (Sep. 6)
- Probability
CN 3.1 HW 1 Due
5 (Sep. 13-17) - Probability (cont’d) HW 2 Assigned
6 (Sep. 20-24) - Probability (cont’d)
- Statistics
CN 3.2.1 - 3.2.4 HW 2 Due
7 (Sep. 27-Oct. 1) - Review Day (Sep. 27)
- Statistics (cont’d) (after midterm)
Midterm 1 (Sep. 29)
8 (Oct. 4-8) - Statistics (cont’d)
- Lab 2: Monte Carlo Simulations
CN All of Ch. 3 HW 3 Assigned
9 (Oct. 11-15) - Introduction to Linear Regression CN 4.1-4.7 HW 3 Due
10 (Oct. 18-22) - Linear Regression (cont’d)
- Lab 3: Running Regressions and Interpreting Them
4.8-4.10 HW 4 Assigned
11 (Oct. 25-29) - Introduction to Prediction
- Model Selection
- Machine Learning
- Fall Break (Oct. 29)
CN 5.1, 5.2 HW 4 Due, Project 1 Assigned
12 (Nov. 1-5) - Review Day (Nov. 1)
- Binary Outcome Models
- Lab 4: Model Selection and Machine Learning
CN Remainder of Ch. 5 Midterm 2 (Nov. 3)
13 (Nov. 8-12) - Introduction to Causal Inference Project 1 Due
14 (Nov. 15-19) - Causal Inference CN 6.1-6.4 HW 5 Assigned, Project 2 Assigned
15 (Nov. 22-26) Thanksgiving break (Nov.24-Nov.26)
16 (Nov. 29-Dec. 3) - Causal Inference CN 6.5-6.7 HW 5 Due
17 (Dec. 6-7) - Lab 5: Causal Inference
- Review Day
Project 2 Due